Location: San Francisco or Croatia

Type: Full-time

Reports to: Engineering Lead, GPU Sandboxes

The role

You will build the runtime that gives every AI agent its own GPU. Full passthrough, hard isolation, serverless economics. This is deep systems work: hypervisors, kernels, drivers, and the orchestration layer that makes an GPUs appear behind an API call in seconds.

What You'll Do

• Build and harden the GPU sandbox runtime: KVM/QEMU, VFIO passthrough, IOMMU group management, guest driver and CUDA stack lifecycle
• Attack cold-start latency across the stack: image caching, VM boot paths, driver init, snapshot restore
• Build fleet-level systems: GPU-aware scheduling and bin-packing, health monitoring, failure detection, automated remediation
• Implement pause, snapshot, and fork semantics for GPU-attached workloads
• Own security-relevant surfaces: device isolation, side-channel considerations, tenant boundaries on shared hosts
• Debug the ugly stuff: PCIe errors, IOMMU faults, driver crashes, thermal throttling, the works

What We're Looking For

• 5+ years of systems engineering in production environments
• Hands-on depth in Linux virtualization internals: KVM, QEMU, libvirt, VFIO, IOMMU
• Strong Go, Rust, or C/C++ and real Linux kernel-adjacent debugging skills
• Experience operating GPUs in production (NVIDIA data center hardware preferred)
• You ship, you own your services, and you like hard problems more than big teams